Article ID: | iaor2013512 |
Volume: | 59 |
Issue: | 1 |
Start Page Number: | 142 |
End Page Number: | 156 |
Publication Date: | Jan 2013 |
Journal: | Management Science |
Authors: | Sassano Antonio, Mannino Carlo, D'Andreagiovanni Fabio |
Keywords: | optimization, programming: integer |
We propose a pure 0‐1 formulation for the wireless network design problem, i.e., the problem of configuring a set of transmitters to provide service coverage to a set of receivers. In contrast with classical mixed‐integer formulations, where power emissions are represented by continuous variables, we consider only a finite set of power values. This has two major advantages: it better fits the usual practice and eliminates the sources of numerical problems that heavily affect continuous models. A crucial ingredient of our approach is an effective basic formulation for the single knapsack problem representing the coverage condition of a receiver. This formulation is based on the generalized upper bound (GUB) cover inequalities introduced by Wolsey (1990); and its core is an extension of the exact formulation of the GUB knapsack polytope with two GUB constraints. This special case corresponds to the very common practical situation where only one major interferer is present. We assess the effectiveness of our formulation by comprehensive computational results over realistic instances of two typical technologies, namely, WiMAX and DVB‐T.